O3ap Sm

🚀 O3ap-sm: Ukrainian News Summarizer

This repository houses the 03ap-sm model, a Ukrainian news summarization model fine - tuned on the T5 - small architecture. It has been trained on the Ukrainian Corpus CCMatrix for text summarization tasks.

✨ Features

• Supports summarization in both Ukrainian and English.
• Fine - tuned on multiple Ukrainian news datasets for better performance in news article summarization.

📦 Installation

pip install transformers

💻 Usage Examples

Basic Usage

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("d0p3/O3ap-sm")
model = AutoModelForSeq2SeqLM.from_pretrained("d0p3/O3ap-sm")

Advanced Usage

news_article = "**YOUR NEWS ARTICLE TEXT IN UKRAINIAN**"

input_ids = tokenizer(news_article, return_tensors="pt").input_ids
output_ids = model.generate(input_ids)

summary = tokenizer.decode(output_ids[0], skip_special_tokens=True)

print(summary)

📚 Documentation

Model Overview

Limitations

• The model may not perform optimally on informal or highly colloquial Ukrainian text.
• As with any language model, there's a possibility of generating factually incorrect summaries or summaries that reflect biases present in the training data.

Ethical Considerations

• Transparency: Clearly state the model's intended use for summarizing news articles, and its limitations.
• Bias: Be aware of biases that may have been introduced during training data selection or the fine - tuning process. Employ mitigation strategies where possible.
• Misuse: Acknowledge the potential for misuse of the model, such as generating misleading summaries. Advise caution and critical evaluation of its outputs.

🔧 Technical Details

The 03ap - sm model is based on the T5 - small architecture and is fine - tuned on specific Ukrainian news datasets. The training on the Ukrainian Corpus CCMatrix provides a solid foundation for text summarization, and the fine - tuning on news - specific datasets enhances its performance in news article summarization.

🤝 Contributing

We welcome contributions and feedback!

📄 License

This model is released under the [CC - BY - NC - 4.0].